Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization. - Xupeng Wen; Guohua Wu 001; Mingfeng Fan; Rui Wang 017; Ponnuthurai Nagaratnam Suganthan (CEC, 2020)

An Adaptive Reference Vector Adjustment Strategy and Improved Angle-Penalized Value Method for RVEA. - Wenbo Qiu; Jianghan Zhu; Huangchao Yu; Mingfeng Fan; Lisu Huo (Complex., 2021)

Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy. - Wenbo Qiu; Jianghan Zhu; Guohua Wu 001; Mingfeng Fan; Ponnuthurai Nagaratnam Suganthan (Swarm Evol. Comput., 2021)

An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. - Huan Liu 001; Xiamiao Li; Guohua Wu 001; Mingfeng Fan; Rui Wang 017; Liang Gao 001; Witold Pedrycz (IEEE Trans. Intell. Transp. Syst., 2021)

DL-DRL: A double-layer deep reinforcement learning approach for large-scale task scheduling of multi-UAV. - Xiao Mao; Guohua Wu 001; Mingfeng Fan (CoRR, 2022)

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem. - Bingjie Li; Guohua Wu 001; Yongming He; Mingfeng Fan; Witold Pedrycz (IEEE CAA J. Autom. Sinica, 2022)

An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. - Huan Liu 001; Xiamiao Li; Mingfeng Fan; Guohua Wu 001; Witold Pedrycz; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Intell. Transp. Syst., 2022)

Reinforcement Learning Based Truck-and-Drone Coordinated Delivery. - Guohua Wu 001; Mingfeng Fan; Jianmai Shi; Yanghe Feng (IEEE Trans. Artif. Intell., 2023)

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. - Mingfeng Fan; Yaoxin Wu; Tianjun Liao; Zhiguang Cao; Hongliang Guo 003; Guillaume Sartoretti; Guohua Wu 001 (IEEE Trans. Veh. Technol., 2023)

Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. - Jiaxing Li; Guohua Wu 001; Tianjun Liao; Mingfeng Fan; Xiao Mao; Witold Pedrycz (IEEE Trans. Veh. Technol., 2023)

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. - Yaoxin Wu; Mingfeng Fan; Zhiguang Cao; Ruobin Gao; Yaqing Hou; Guillaume Sartoretti (AAMAS, 2024)

Attention-based Priority Learning for Limited Time Multi-Agent Path Finding. - Yibin Yang; Mingfeng Fan; Chengyang He; Jianqiang Wang 003; Heye Huang; Guillaume Sartoretti (AAMAS, 2024)

HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control. - Yifeng Zhang; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (IROS, 2024)

Joint Task Offloading and Resource Allocation in Multi-UAV Multi-Server Systems: An Attention-Based Deep Reinforcement Learning Approach. - Guohua Wu 001; Zelin Liu; Mingfeng Fan; Keyu Wu 004 (IEEE Trans. Veh. Technol., 2024)

Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing. - Mingfeng Fan; Huan Liu 001; Guohua Wu 001; Aldy Gunawan; Guillaume Sartoretti (Swarm Evol. Comput., 2025)

Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem. - Jiayi Li; Guohua Wu 001; Mingfeng Fan; Zhiguang Cao; Yalin Wang 003 (IEEE Trans Autom. Sci. Eng., 2025)

DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV. - Xiao Mao; Guohua Wu 001; Mingfeng Fan; Zhiguang Cao; Witold Pedrycz (IEEE Trans Autom. Sci. Eng., 2025)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control. - Yifeng Zhang; Yilin Liu; Ping Gong; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (CoRR, 2025)

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. - Mingfeng Fan; Yaoxin Wu; Zhiguang Cao; Wen Song 004; Guillaume Sartoretti; Huan Liu 001; Guohua Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation. - Mingfeng Fan; Jianan Zhou 002; Yifeng Zhang; Yaoxin Wu; Jinbiao Chen; Guillaume Adrien Sartoretti (CoRR, 2025)

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning. - Jiaqi Chen; Mingfeng Fan; Xuefeng Zhang; Jingsong Liang; Yuhong Cao; Guohua Wu 001; Guillaume Adrien Sartoretti (CoRR, 2025)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem. - Mingfeng Fan; Jiaqi Cheng; Yaoxin Wu; Yifeng Zhang; Yibin Yang; Guohua Wu 001; Guillaume Sartoretti (CoRR, 2025)